This hands-on guide is aimed at practitioners in the area of data science. The book assumes some previous skills with Julia and in coding in a scripting language such as Python, Matlab, or R-or otherwise in a compiled language such as C, Fortran, or Java. Experience in specific study areas such as database, networking, statistics, and mathematics is not required.
"synopsis" may belong to another edition of this title.
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java.
Malcolm Sherrington
Malcolm Sherrington has been working in computing for over 35 years. He holds degrees in mathematics, chemistry, and engineering and has given lectures at two different universities in the UK as well as worked in the aerospace and healthcare industries. Currently, he is running his own company in the finance sector, with specific interests in High Performance Computing and applications of GPUs and parallelism. Always hands-on, Malcolm started programming scientific problems in Fortran and C, progressing through Ada and Common Lisp, and recently became involved with data processing and analytics in Perl, Python, and R. Malcolm is the organizer of the London Julia User Group. In addition, he is a co-organizer of the UK High Performance Computing and the financial engineers and Quant London meetup groups.
"About this title" may belong to another edition of this title.
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